1. Introduction to Large Language Models (LLMs)
Duration: ~45 minutes
What You’ll Learn:
- The basics of LLMs like ChatGPT
- Prompt tuning for better outputs
- Use cases in real-world applications
- How LLMs differ from traditional language models
This course introduces you to the world of Large Language Models, explaining how these powerful tools like ChatGPT or Bard are trained on huge datasets to generate human-like text. You will also learn how to improve their performance using prompt tuning, a technique to fine-tune responses. The course is ideal for beginners and ends with a Google badge.
Badge: Yes
Difficulty: Beginner
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2. Image Generation Using Diffusion Models
Duration: ~45 minutes
What You’ll Learn:
- What are diffusion models and how they work
- Training image generators using machine learning
- Using Vertex AI for model deployment
This course covers the technology behind modern AI image generators like DALL·E or MidJourney. It dives into diffusion models, explaining how they convert noise into stunning visuals. You’ll also get hands-on guidance on training and deploying these models using Google Cloud’s Vertex AI.
Badge: Yes
Difficulty: Intermediate
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3. Encoder-Decoder Architecture
Duration: 30 minutes
What You’ll Learn:
- Basics of encoder-decoder neural networks
- Applications in translation, summarization, and question answering
- Using TensorFlow for model development
This short yet powerful course introduces you to one of the most important architectures in AI: the Encoder-Decoder model. Used in applications like Google Translate and AI chatbots, this architecture is essential for tasks involving input-output sequences. You’ll also get a chance to try coding in TensorFlow, Google’s ML library.
Badge: Yes
Difficulty: Intermediate
CLICK HERE
4. Introduction to Generative AI
Duration: ~45 minutes
What You’ll Learn:
- What generative AI is and how it works
- How it differs from traditional machine learning
- Tools to create your own Generative AI applications
This course is perfect for those just stepping into the world of Generative AI. It explains the difference between discriminative and generative models, gives practical examples, and walks you through how to create your own simple AI tools. Whether you’re into text, images, or audio — this course will guide you on how to build Gen AI solutions.
Badge: Yes
Difficulty: Beginner
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5. Transformer Models and BERT
Duration: ~45 minutes
What You’ll Learn:
- Self-attention mechanisms in AI models
- Introduction to Transformer Architecture
- Use cases of BERT: question answering, text classification
If you want to understand the engine behind modern AI systems, this course is a must. It demystifies transformer-based architectures — the core of models like GPT, BERT, and Bard. Learn how BERT improves search engines and voice assistants through bidirectional understanding of text.
Badge: Yes
Difficulty: Intermediate
CLICK HERE
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Final Thoughts
Google’s free microlearning courses are a golden opportunity to upskill quickly without spending a penny. Each course:
- Takes less than an hour to complete
- Offers shareable certificates
- Is developed by top engineers at Google
- Provides a strong foundation in AI and ML concepts
Whether you’re a student, working professional, or an AI hobbyist, these courses can help sharpen your knowledge and even open up new career opportunities.
